Abstract
Semantic segmentation of medical images is an area of active research all over the world. It can dramatically improve accuracy and efficiency of diagnosis if used properly. High reliability of potential solutions is required to support specialists. In this work we introduce a novel solution to perform pixelwise segmentation of vein preparations dyed with movat stain. Our proposed deep convolutional neural network achieves the accuracy of \(89\%\).
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Acknowledgements
Images used in this study are a courtesy of the Histology and Embryology Division, Department of Human Morphology and Embryology, Wroclaw Medical University, Wroclaw, Poland.
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Miselis, B., Kulus, M., Jurek, T., Rusiecki, A., Jeleń, Ł. (2018). Deep Neural Network for Whole Slide Vein Segmentation. In: Saeed, K., Homenda, W. (eds) Computer Information Systems and Industrial Management. CISIM 2018. Lecture Notes in Computer Science(), vol 11127. Springer, Cham. https://doi.org/10.1007/978-3-319-99954-8_6
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DOI: https://doi.org/10.1007/978-3-319-99954-8_6
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